Question

这是我的毕业论文摘引,那位高手帮我翻译成英文的啊,小弟英语太烂了,太感谢了!

本文就基于决策树的分类系统进行了说明，主要介绍了根据决策树算法中的ID3算法，利用开发工具Visual C++ 6.0完成系统的方法。首先介绍了机器学习、归纳学习、决策树学习等方面的相关背景。接着详细介绍了决策树，ID3算法的理论知识，包括信息熵知识,算法原理,以及分析了ID3算法的优劣。本文针对本系统的实际情况，详细的介绍了系统中的各模块和实现方法，以及系统功能的全过程。
另外，本文还比较详细的介绍了系统开发工具Visual C++ 6.0,从实现本系统的角度，对涉及的相关内容进行了介绍。通过对系统不同实验数据的实验结果的分析，直观的显示了系统能够完成的所有功能。文章的最后做出了总体上的结论，并指出了本分类系统的存在的许多不足之处，这也为以后的进一步研究奠定了基础。

Answer 1

The text steers the justification for the sort system of the in consequence of decision tree, mainly recommending the ID3 algorithm within the secundum decision tree algorithm, the take advantage of tapping tool Visual C++6.0 terminate the tool of the system.Recommended related back ground of the machine learning, inductive learning, the decision tree study...etc. first.Immediately after detailed recommended the decision tree, the knowledge of school of the ID3 algorithm, the including entropy of information knowledge, the algorithm principle, and analyzed the good and bad of the ID3 algorithm.The text aims at the physical truth of this system, recommending each module in the system sum to carry out the tool in detail, and the whole course of the system function.
Moreover, the text still recommended the system tapping tool Visual C more and in detail++6.0, from the realize originally the angle of the system, steered the presentation towards the related contents that involve.Pass vs the system experiment consequential analysis of the different experiment data, kept the view to display all function that the system can terminate.The ad finem of the article committed the conclusion on the population, and pointed out the section of many scarcities of the entity of the duty system, this also for hereafter of further search lay the foundation.

Answer 2

This article on has carried on showing based on the policy-making tree's taxonomy, mainly introduced in the basis decision-making tree algorithm ID3 algorithm, 6.0 completes the system using development kit Visual C the method. First introduced aspect the and so on machine learning, induction study, policy-making tree study related background. After that in detail was introducing the policy-making tree, the ID3 algorithm theory knowledge, shifted the algorithm principle including the information entropy knowledge, as well as has analyzed the ID3 algorithm fit and unfit quality. This article in view of this system actual situation, in detailed introduction system various modules and realization method, as well as system function entire process .

Moreover, this article also quite detailed introduction system development kit Visual C 6.0, from has realized this system angle, to the related content which involves has carried on the introduction. Through to the system different empirical datum experimental result analysis, the direct-viewing demonstration all functions which system could complete. The article finally has drawn in the overall conclusion, and had pointed out this taxonomy existence many deficiency, this also has laid the foundation for the later further research .